Activity Recognition
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Benchmarks
RWF-2000
Stanford40
Most implemented
Real-world Anomaly Detection in Surveillance Videos
Multivariate LSTM-FCNs for Time Series Classification
Representation Flow for Action Recognition
Temporal Relational Reasoning in Videos
Papers
Foundation models for movement data: Are they ready for prime-time?
Foundation models (FMs) trained on large-scale accelerometer data have been proposed as general-purpose feature extractors for health monitoring, but systematic evidence of their advantages is lacking. We present the fir…
Activity RecognitionAction RecognitionEquipment-centric workpiece localization in near real-time using deep learning-based vision and event-driven finite state machines
Continuous workpiece localization is essential for traceability and process coordination in hot forging, but direct tracking is unreliable because of extreme temperatures, surface degradation, and irregular routing. This…
Activity RecognitionSteelBench: Evaluating Vision-Language Models in Real-World Industrial Environments
Existing video benchmarks evaluate action recognition on consumer videos, egocentric recordings, or simulated industrial environments. They do not test vision-language models under the visual and procedural conditions of…
Activity RecognitionAction RecognitionQFedAgent: Quantum-Enhanced Personalized Federated Learning for Multi-Agent Activity Recognition
Federated learning (FL) enables collaborative model training across distributed devices without sharing raw data, making it suitable for privacy-sensitive robotic sensing applications. However, multi-agent systems genera…
Personalized Federated LearningActivity RecognitionBit-ViP: Leveraging Bit-planes to Preserve Visual Privacy in Images through Obfuscation
The unprecedented growth of computer vision applications, such as surveillance systems and social media, raises security and visual privacy concerns, especially when data is stored on cloud servers. Image obfuscation off…
Activity RecognitionTowards a Bathroom-Centered Human-Building Digital Twin Framework for Indoor Safety Analysis
Bathroom use is a critical safety challenge for older adults because wet surfaces, constrained layouts, limited support, and frequent posture transitions are concentrated within a small domestic space. These conditions c…
Activity Recognition